Search Results (4,444)

Remote sensing plays a vital role in monitoring environmental change in Antarctica, offering non-invasive insights into ice dynamics, biodiversity, and fragile ecosystems. Harsh conditions, limited field access, and logistical challenges result in sparse, noisy, and often unlabelled datasets, posing major obstacles for machine learning (ML) approaches. Data scarcity remains a fundamental challenge for uncrewed aerial vehicle (UAV)-based ecological monitoring. While ML models in other Earth observation domains demonstrate state-of-the-art performance, their applicability in Antarctic and polar regions’ settings is limited. This paper reviews the intersection of ML and UAV-based remote sensing in Antarctica under extreme data constraints. We surveyed recent strategies designed to overcome these limitations, including self-supervised learning, physics-informed modelling, and foundation models. Results highlight a notable gap, as polar environments remain excluded from global datasets and benchmarks due to the extensive data requirements of large-scale models. Opportunities exist where multimodal and multi-scale generalisation can enhance cross-domain adaption to data-scarce use cases. Unlike prior reviews on general remote sensing or task-specific polar studies, this work uniquely underscores the need for Antarctic representation in global ML advances, positioning Antarctica as a frontier testbed for machine learning in extreme, inaccessible, and under-resourced fields. Full article

This systematic review explores the role of family cohesion and health literacy in shaping the physical, mental, and behavioral health of parents and adolescents. Family cohesion and health literacy are recognized social determinants that influence communication, shared decision-making, and engagement in preventive health behaviors. Following PRISMA 2021 guidelines, a comprehensive search across major databases identified 16 eligible studies meeting the inclusion criteria between 2010 and 2025. The findings indicate that higher levels of family cohesion promote healthier behaviors, strengthen emotional regulation, and enhance adolescents’ perceived well-being, while also increasing parental involvement in health-related decisions. Health literacy emerged as a key explanatory and contextual factor in the association between family cohesion and health outcomes. However, socioeconomic disadvantages—such as low income, limited access to healthcare, and lower parental education—were shown to weaken these protective pathways, creating disparities in health outcomes. Cultural and contextual factors also influenced the effectiveness of health literacy interventions. Overall, the review underscores the relevance of family-centered, culturally tailored public health strategies that simultaneously strengthen family cohesion and health literacy to support equitable health outcomes for parents and adolescents. Full article

Laboratories across educational levels have traditionally required in-person attendance, limiting practical activities to specific times and physical spaces. This paper presents a technological architecture based on a system-on-chip (SoC) and a connectivist model, grounded in Connectivism Learning Theory, for implementing a remote laboratory in digital logic design using FPGA devices. The architecture leverages an Internet-of-Things (IoT) environment to provide applications and servers that enable remote access, programming, manipulation, and visualization of FPGA-based development boards located in the institution’s laboratory, from anywhere and at any time. The connectivist model allows learners to interact with multiple nodes for attending synchronous classes, performing laboratory exercises, managing the remote laboratory, and accessing educational resources asynchronously. This approach aims to enhance learning, knowledge transfer, and skills development. A four-year evaluation was conducted, including one experimental group using an e-learning approach and three in-person control groups from a Digital Logic Design course. The experimental group achieved an average performance score of 9.777, surpassing the control groups, suggesting improved academic outcomes with the proposed system. Additionally, a Technology Acceptance Model-based survey showed very high acceptance among learners. This paper presents a novel connectivist model, which we call the Massive Open Online Laboratory. Full article

Background/Objectives: Whole food, plant-based (WFPB) diets have been associated with reduced cardiovascular risk and enhanced overall health. However, nutrition education in medical training remains limited. This study evaluated an experiential WFPB intervention known as the “Plant Plunge.” Methods: A total of 64 medical student participants attended weekly one-hour nutrition seminars on campus led by a local nonprofit, received complimentary WFPB lunches, and were encouraged to eat a WFPB diet for four weeks. Semi-structured interviews explored program perceptions. Pre- and post-intervention assessments measured nutrition knowledge, and a post-program survey assessed attitudes toward the intervention. Results: We analyzed a total of 14 interviews, 25 pre- and post-intervention knowledge assessments, and 49 post-intervention surveys. Qualitative analysis identified seven major themes: (1) improved physical health outcomes; (2) increased awareness of nutrition’s role in medicine; (3) concerns about feasibility and accessibility of WFPB diets; (4) personal empowerment and behavioral change; (5) educational value of seminars; (6) social engagement and peer support; and (7) relevance to future clinical practice. Mean scores on the knowledge assessment significantly improved from 73.3% to 87.0% (p = 0.045) following the Plant Plunge. Survey responses revealed that 65% of participants agreed that they increased knowledge of food ingredients, 54% indicated increased likelihood of selecting plant-based options, and 43% agreed that finding WFPB foods was easy, with 16% disagreeing. Conclusions: The Plant Plunge improved medical students’ nutrition knowledge, dietary attitudes, and perceived readiness for lifestyle counseling while offering an experiential model of nutrition education. Short, experiential nutrition programs may serve as scalable approaches to strengthen nutrition training and support chronic disease prevention. Full article

Large-format pouch cells enable higher pack-level energy density and simplified system architecture, yet they pose significant thermal challenges due to long internal conduction paths, pronounced spatial gradients, and limited access to core temperature. This work develops a high-fidelity electro-thermal model for large-format cells based on an equivalent circuit network that mirrors the physical assembly of tabs, welds, and electrode stacks. The model couples three-dimensional ohmic conduction in tabs, welds, and current collectors with node-level equivalent circuit models in the stack, and uses measurement-anchored parameters. The model is used to study thermally critical design factors for a 44 Ah pouch cell, including thermal management configurations, tab width, tab thickness, and tab welding. Simulation results indicate that among four active cooling options, two-sided stack surface cooling achieves the lowest temperatures and the best uniformity, lowering the average temperature by about 11 °C relative to natural convection and reducing the temperature standard deviation to 1.43 °C. It also decreases the core maximum temperature by more than 9 °C, whereas other configurations provide only 4 to 5 °C core reductions. Changes to tab geometry and welding have minor effects except under one-sided tab cooling. Full article

This paper presents a novel system for estimating 3D athlete pose, boom angle, and rudder angle in Olympic dinghy sailing using onboard 360${}^{\circ }$ video footage. The proposed approach integrates adaptive panorama slicing, keypoint-based rig detection, and geometric ray-casting into an end-to-end pipeline for quantitative performance analysis under real-world on-water conditions. Traditionally, restrictive International Laser Class Association (ILCA) rules have prohibited advanced sensor systems during competition. However, recent rule changes permit a single onboard camera, enabling unobtrusive and rule-compliant measurement solutions. The purpose of this study is to evaluate whether a competition-legal 360${}^{\circ }$ camera combined with computer vision can provide meaningful performance-related measurements in Olympic sailing. The experimental results indicate that computer-vision-based analysis can complement traditional performance assessment and provide access to data previously limited to physical sensors or manual estimation. The system can support teams and coaches in identifying technique-related performance opportunities. Full article

Background: Truck drivers constitute a high-risk occupational group due to irregular schedules, prolonged sedentary work, fatigue, and limited access to healthcare, contributing to adverse physical and mental health outcomes. Although mobile health (mHealth) tools offer potential to support driver health, sustained engagement remains a persistent challenge. Objectives: This systematic review aimed to identify behavioural, technological, and contextual determinants influencing truck drivers’ compliance, retention, and long-term engagement with digital health interventions. Methods: Following the PRISMA 2020 guidelines, six eligible studies were identified and thematically synthesised across technology acceptance, behaviour change, and persuasive system design perspectives. Results: Across studies, sustained engagement was facilitated by self-monitoring, real-time feedback, goal-setting, coaching support, and simple, flexible system design. In contrast, technological complexity, high interaction demands, limited digital literacy, privacy concerns, misalignment with irregular schedules, and fatigue consistently undermined engagement and retention. Autonomy, trust, and voluntary participation emerged as cross-cutting determinants supporting continued use. Based on the synthesis, an integrative framework was developed to explain how behavioural, technological, and contextual factors interact to shape truck drivers’ compliance, engagement, and retention with mHealth. Despite generally moderate to high study quality, the evidence base remains fragmented and dominated by short-term evaluations. Conclusions: The findings highlight the importance of context-sensitive, user-centred design to support effective digital health interventions in the trucking sector. Full article

District heating systems are central to Europe’s decarbonisation strategy and its 2050 climate-neutrality objective. However, district heating is deeply embedded in the socio-economic system and the built environment. This makes compliance with policy targets at the local level particularly challenging. The issues are attributable to two factors. Firstly, the process is characterised by a high degree of complexity and multidimensionality. Secondly, there is a scarcity of local resources (e.g., land, surface waters, waste heat, etc.). In Bucharest, Romania, the largest district heating system in the European Union, the process of decarbonisation represents a particularly complex challenge. The system is characterised by large physical dimensions, high technical wear, heavy dependence on natural gas, significant heat losses and complex governance structures. This paper presents a strategic planning exercise for aligning the Bucharest system with the Energy Efficiency Directive 2023/1791. Drawing on system data, investment modelling, and local resource mapping from the LIFE22-CET-SET_HEAT project, the study evaluates scenarios for 2028 and 2035 that shift heat generation from natural gas to renewable, waste heat, and high-efficiency sources. The central objective is the identification of opportunities and issues. Options include large-scale heat pumps, waste-to-energy, geothermal and solar heat. Heat demand profiles and electricity price dynamics are used to evaluate economic feasibility and operational flexibility. The findings show that the decarbonisation heat supply in Bucharest is technically possible, but financial viability hinges on phased investments, interinstitutional coordination, regulatory reforms and access to EU funding. The study concludes with recommendations for staged implementation, coordinated governance and socio-economic measures to safeguard heat affordability and system reliability. Full article

As social robots increasingly enter public environments, their acceptance depends not only on technical robustness but also on ethical integrity, accessibility, transparency, and consistent system behaviour across diverse users. This paper reports an in situ pilot deployment of an ARI social robot functioning as a university receptionist, designed and implemented in alignment with the SecuRoPS framework for secure, ethical, and reliable social robot deployment. Thirty-five students and staff interacted with the robot in a real public setting and provided structured feedback on safety, privacy, usability, accessibility, ethical transparency, and perceived reliability. The results indicate strong user confidence in physical safety, data protection, and regulatory compliance while revealing persistent challenges related to accessibility and interaction dynamics. These findings show that reliability in public-facing robotic systems extends beyond fault-free operation to include equitable and consistent user experience across contexts. Beyond reporting empirical outcomes, the study contributes in three key ways. First, it demonstrates a reproducible method for operationalising lifecycle governance frameworks in real-world deployments. Second, it provides new empirical insights into how trust, accessibility, and transparency are experienced by end users in public spaces. Third, it delivers a publicly available, open-source GitHubrepository containing reusable templates for ARI robot applications developed using the PAL Robotics ARI SDK (v23.12), lowering technical entry barriers and supporting reproducibility. By integrating empirical evaluation with practical system artefacts, this work advances research on reliable intelligent environments and provides actionable guidance for the responsible deployment of social robots in public spaces. Full article

Recent advancements in Artificial Intelligence and eXtended Reality (XR) have laid solid foundations for the development of a new paradigm in industrial maintenance under the light of Industry 5.0 framework. This research presents the design, development, and implementation of an XR-enabled remote maintenance framework that integrates real-time video collaboration, AI-assisted guidance, and a persistent digital asset knowledge layer based on Asset Administration Shells for Maintenance and Repair Operations (MRO). By combining fine-tuned Large Language Models (LLMs) with immersive XR interfaces, the proposed framework enables technicians to interact with virtual representations of industrial assets, access contextual instructions, and receive expert support remotely in real-time. Through seamless integration of historical MRO data, digital twins, and real-time sensor streams, the system facilitates dynamic fault diagnostics and Remaining Useful Life (RUL) estimation. Therefore, the proposed approach is positioned as a Metaverse-aligned implementation, combining synchronous multi-user collaboration, digital–physical coupling through digital twins, and semantic interoperability. The framework is validated through two industrial case studies, demonstrating its feasibility and practical impact on maintenance efficiency and knowledge transfer. The findings position the Industrial Metaverse as a transformative enabler in the future of AI-driven machinery health monitoring. Full article

This study examines how the sense of home for people with dementia is shaped not only by physical settings but by dynamic atmospheric compositions emerging through memory, sensation, and everyday practices. Building on a preliminary literature mapping that identified three dimensions of home in later-life care environments—safe space, small world, and connection—we developed a multisensory co-design toolkit combining key-element cards and curated olfactory prompts. The study was conducted in a dementia-friendly residential care facility in Italy. Nine residents with mild–moderate dementia (aged 75–84) participated in two group sessions and six individual sessions, facilitated by two design researchers with care staff present. Data consist of audio-recorded and transcribed interviews, guided olfactory sessions, and researcher fieldnotes. Across sessions, participants articulated “small worlds” as micro-environments composed of meaningful objects, bodily comfort, routines, and sensory cues that supported emotional regulation and identity continuity. Olfactory prompts, administered through a low-intensity and participant-controlled protocol, supported scene-based autobiographical recall for some participants, often eliciting memories of domestic rituals, places, and relationships. Rather than treating home-like design as a fixed architectural style, we interpret home as continuously re-made through situated sensory–temporal patterns and relational practices. We translate these findings into atmospheric design directions for dementia care: designing places of self and refuge, staging accessible material memory devices, embedding gentle olfactory micro-worlds within daily routines, and approaching atmosphere as an ongoing process of co-attunement among residents, staff, and environmental conditions. The study contributes a methodological and conceptual framework for multisensory, narrative-driven approaches to designing home-like environments in long-term care. Full article

Parental stress is a critical yet understudied dimension of childhood total blindness, a condition that imposes substantial developmental, emotional, and functional challenges on families. This cross-sectional study assessed parenting stress, maternal health symptoms, and children’s functional vision-related quality of life in 81 mothers of children aged 0 to 12 years with total congenital blindness. Parenting stress was assessed in the full sample using the Parenting Stress Index–Fourth Edition (PSI-4). Children’s functional vision-related quality of life was evaluated in age-specific subsamples using the Quality of Family Vision Impact (QFVI-3 for children aged 0–3 years and QFVI-7 for children aged 3–7 years). All participants also completed a sociodemographic and maternal health survey. Total Parent Stress showed moderately elevated percentile scores (mean ≈ 67), with the highest PSI-4 subdomains in Adaptability, Depression, and Health. Approximately 21% of mothers scored within the clinical range for high stress. Maternal symptoms including sadness, insomnia, headaches, forgetfulness, and musculoskeletal pain were significant (all p < 0.01). QFVI global scores indicated moderate impairments in functional vision-related quality of life across age groups. Life Stress demonstrated a small-to-moderate negative correlation with QFVI-7, suggesting that cumulative environmental stressors may adversely affect children’s functional outcomes. Several factors were associated with more favorable outcomes. Among children under three years of age, maternal engagement in physical activity was associated with higher QFVI scores, whereas among children aged 3–7 years, school attendance was associated with higher functional vision-related quality of life scores. In contrast, sociodemographic disadvantage, limited access to educational adaptations, and reduced maternal participation in work or leisure activities were associated with higher levels of parental stress. These findings highlight the importance of multidisciplinary, family-centered care incorporating psychosocial assessment, early stimulation, orientation and mobility support, and maternal mental health interventions in pediatric ophthalmology. Full article

Wireless sensor systems can collect and share a large amount of data for different kinds of applications, but are also vulnerable to cyberattacks. The impact of cyberattacks on systems’ confidentiality, integrity, and availability can be mitigated by using authentication procedures and cryptographic algorithms. Authentication passwords and cryptographic keys may be stored in a non-volatile memory, which may be easily tampered with. Alternately, Physical Unclonable Functions (PUFs) can be adopted. They generate a chip’s unique fingerprint, by exploiting the randomness of process parameters’ variations occurring during chip fabrication, thus constituting a more secure alternative to the adoption of non-volatile memories for password storage. PUF reliability is of primary concern to guarantee a system’s availability. In this paper, the reliability of a Static Random Access Memory (SRAM)-based PUF implemented by a standard 32 nm CMOS technology is investigated, as a function of different operating conditions, such as noise, power supply voltage, and temperature, and considering different values of transistor conduction threshold voltages. The achieved results will show that transistor threshold voltage and noise are the operating conditions mostly affecting PUF reliability, while the impact of temperature variations is lower, and that of power supply variations is negligible. Full article

The evolving tumor microenvironment (TME) plays a critical role in breast cancer tumorigenesis, growth, and metastatic potential. This study focuses on two key components of the TME: tumor-associated neutrophils (TANs) and the desmoplastic reaction (DR). We will analyze their multifaceted functions, emphasizing the significant mutual relationships among them, which dramatically affect disease outcomes and the effectiveness of treatments. TANs can either suppress or promote tumors, demonstrating notable functional flexibility in response to signals from their immediate environment. Concurrently, the proliferation of myofibroblasts and the extensive deposition of extracellular matrix (ECM), which characterize the DR, substantially alter the tumor’s physical properties, increasing its stiffness. This increased stiffness significantly obstructs immune system cells from accessing the tumor, ultimately limiting the effectiveness of therapies and contributing to a more clinically aggressive tumor behavior. A comprehensive understanding of the interactions among TANs, the desmoplastic stroma, and other elements of the TME is critical for developing new predictive biomarkers and establishing more effective targeted therapies. Full article

Accurate analysis of commutation phenomena in permanent magnet DC (PMDC) motors requires simultaneous consideration of electromagnetic field distribution and armature circuit dynamics. Classical circuit-based models are unable to properly capture transient effects occurring in short-circuited coils during commutation, while purely field-based models neglect the influence of the supply circuit. In this paper, a coupled field–circuit model of a PMDC motor with an innovative magnetic circuit based on rectangular NdFeB permanent magnets is presented. The model combines a two-dimensional finite element electromagnetic analysis with a segmented armature circuit and dynamic commutator switching, allowing the electromotive force to be computed individually for each coil based on the actual magnetic field distribution. The novelty of the proposed approach lies in the integration of a non-standard rectangular permanent magnet topology with a coil-resolved field–circuit commutation model, validated on a physical motor prototype. Simulation results are compared with experimental measurements obtained from a laboratory prototype at rotational speeds of 850 and 1000 r/min. The predicted electromagnetic torque shows good agreement with measurements, with deviations below 5%, while the armature current is estimated with an error of up to approximately 20%, primarily due to model simplifications. The developed model provides direct access to transient commutation waveforms and constitutes a practical tool for the analysis and design optimization of PMDC motors operating under dynamic conditions, particularly in cost-sensitive and reliability-oriented applications. Full article